Number of Countries

195

Country with Highest GDP

Monaco

Average GDP per Capita

22763.6

Highest Avg Life Expectancy

Europe

continent Average Life Expectancy Lowest Life Expectancy Country with Lowest Life Exp Highest Life Expectancy Country with Highest Life Exp
0 Africa 66.78 52.6 Lesotho 78.9 Tunisia
1 America 76.29 64.9 Haiti 83.0 Canada
2 Asia 73.84 0.0 Hong Kong, China 85.5 Japan
3 Europe 80.21 73.8 Russia 84.8 Iceland
4 Oceania 69.01 59.7 Solomon Islands 83.7 Australia

The analysis utilized data from 195 countries with a total population of 8 billion. Monaco in Europe has the highest GDP per capita of USD222,000 while South Sudan in Africa has the lowest GDP per capital of USD363.

There is a positive correlation between GDP per capita and life expectancy.

Hongkong and China has the lowest life expectancy globally.

Highest Life Expectancy

85.5

Japan

Lowest Life Expectancy

0.0

Hong Kong, China

Average Life Expectancy

74.3

continent Average GDP Lowest GDP Country with Lowest GDP Highest GDP Country with Highest GDP
0 Africa 5832.41 363.0 South Sudan 27800.0 Seychelles
1 America 19997.71 2600.0 Haiti 67300.0 USA
2 Asia 24795.60 1330.0 Afghanistan 106000.0 Singapore
3 Europe 47869.05 10700.0 Ukraine 222000.0 Monaco
4 Oceania 12411.43 2190.0 Kiribati 51800.0 Australia

In 2024, Africa and Oceania shows markedly lower GDP Per capita compared to other continents, reflecting significant developmental challenges.

Europe demonstrate the most consistently high life expectancies, while Asia and America show greater variability, indicating diverse development stages within these regions in the year 2024.

Gapminder Dataset (2024)
country year gdp life_expectancy population iso3 continent
Loading ITables v2.3.0 from the internet... (need help?)

This data is originally sourced from the Gapminder Foundation, a non-profit venture that promotes sustainable global development and achievement of the United Nations Millennium Development Goals by increasing use and understanding of statistics and other information about social, economic, and environmental development.

This project explores key global development indicators using data from the Gapminder Foundation, focusing on Life Expectancy, GDP per Capita, and Population for various countries in the year 2024. These metrics offer a snapshot of how countries differ in terms of health, economic performance, and population size. By visualizing these indicators together, we can uncover patterns in global development—such as how wealth tends to correlate with longer life spans—and highlight outliers that challenge common assumptions.

The data, sourced from Gapminder, is widely recognized for its reliability and educational value. It allows users to engage with global statistics in a clear and impactful way. This project uses Python for analysis and visualization, offering a foundation for further exploration, such as tracking trends over time or creating interactive tools. Ultimately, the goal is to make global inequality and development more understandable through data.